Cargando…

Daytime naps and depression risk: A meta-analysis of observational studies

BACKGROUND: The relationship between daytime napping and depression remains debatable. Thus, a meta-analysis in this study was conducted to evaluate the relationship between daytime napping and depression. METHODS: The PubMed, Embase, Web of Science, and China National Knowledge Infrastructure datab...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Liqing, Zhang, Qi, Zhu, Liyong, Zeng, Guohua, Huang, Hongwei, Zhuge, Jian, Kuang, Xiaorui, Yang, Sule, Yang, Di, Chen, Zhensheng, Gan, Yong, Lu, Zuxun, Wu, Chunmei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9798209/
https://www.ncbi.nlm.nih.gov/pubmed/36591028
http://dx.doi.org/10.3389/fpsyg.2022.1051128
_version_ 1784860858760822784
author Li, Liqing
Zhang, Qi
Zhu, Liyong
Zeng, Guohua
Huang, Hongwei
Zhuge, Jian
Kuang, Xiaorui
Yang, Sule
Yang, Di
Chen, Zhensheng
Gan, Yong
Lu, Zuxun
Wu, Chunmei
author_facet Li, Liqing
Zhang, Qi
Zhu, Liyong
Zeng, Guohua
Huang, Hongwei
Zhuge, Jian
Kuang, Xiaorui
Yang, Sule
Yang, Di
Chen, Zhensheng
Gan, Yong
Lu, Zuxun
Wu, Chunmei
author_sort Li, Liqing
collection PubMed
description BACKGROUND: The relationship between daytime napping and depression remains debatable. Thus, a meta-analysis in this study was conducted to evaluate the relationship between daytime napping and depression. METHODS: The PubMed, Embase, Web of Science, and China National Knowledge Infrastructure databases were searched up to February 2022, and the reference lists of the included studies were also retrieved. A random-effects model was used to estimate the combined effect size. RESULTS: Nine studies with 649,111 participants were included in the final analysis. The pooled odds ratio (OR) was 1.15 (95% confidence interval: 1.01–1.31) with a significant heterogeneity (I(2) = 91.3%, P for heterogeneity <0.001), and the results demonstrated an increased risk of depressive symptoms among daytime nappers. Visual inspection of the funnel plot and Egger's and Begg's tests identified no obvious evidence of publication bias. CONCLUSION: This meta-analysis indicates that daytime naps are a predictor of depression. The effects of daytime napping on depression may vary depending on the characteristics of people, the pattern of naps, and the individual's sleep experience. The findings may have significant implications for future research on depression.
format Online
Article
Text
id pubmed-9798209
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-97982092022-12-30 Daytime naps and depression risk: A meta-analysis of observational studies Li, Liqing Zhang, Qi Zhu, Liyong Zeng, Guohua Huang, Hongwei Zhuge, Jian Kuang, Xiaorui Yang, Sule Yang, Di Chen, Zhensheng Gan, Yong Lu, Zuxun Wu, Chunmei Front Psychol Psychology BACKGROUND: The relationship between daytime napping and depression remains debatable. Thus, a meta-analysis in this study was conducted to evaluate the relationship between daytime napping and depression. METHODS: The PubMed, Embase, Web of Science, and China National Knowledge Infrastructure databases were searched up to February 2022, and the reference lists of the included studies were also retrieved. A random-effects model was used to estimate the combined effect size. RESULTS: Nine studies with 649,111 participants were included in the final analysis. The pooled odds ratio (OR) was 1.15 (95% confidence interval: 1.01–1.31) with a significant heterogeneity (I(2) = 91.3%, P for heterogeneity <0.001), and the results demonstrated an increased risk of depressive symptoms among daytime nappers. Visual inspection of the funnel plot and Egger's and Begg's tests identified no obvious evidence of publication bias. CONCLUSION: This meta-analysis indicates that daytime naps are a predictor of depression. The effects of daytime napping on depression may vary depending on the characteristics of people, the pattern of naps, and the individual's sleep experience. The findings may have significant implications for future research on depression. Frontiers Media S.A. 2022-12-15 /pmc/articles/PMC9798209/ /pubmed/36591028 http://dx.doi.org/10.3389/fpsyg.2022.1051128 Text en Copyright © 2022 Li, Zhang, Zhu, Zeng, Huang, Zhuge, Kuang, Yang, Yang, Chen, Gan, Lu and Wu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychology
Li, Liqing
Zhang, Qi
Zhu, Liyong
Zeng, Guohua
Huang, Hongwei
Zhuge, Jian
Kuang, Xiaorui
Yang, Sule
Yang, Di
Chen, Zhensheng
Gan, Yong
Lu, Zuxun
Wu, Chunmei
Daytime naps and depression risk: A meta-analysis of observational studies
title Daytime naps and depression risk: A meta-analysis of observational studies
title_full Daytime naps and depression risk: A meta-analysis of observational studies
title_fullStr Daytime naps and depression risk: A meta-analysis of observational studies
title_full_unstemmed Daytime naps and depression risk: A meta-analysis of observational studies
title_short Daytime naps and depression risk: A meta-analysis of observational studies
title_sort daytime naps and depression risk: a meta-analysis of observational studies
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9798209/
https://www.ncbi.nlm.nih.gov/pubmed/36591028
http://dx.doi.org/10.3389/fpsyg.2022.1051128
work_keys_str_mv AT liliqing daytimenapsanddepressionriskametaanalysisofobservationalstudies
AT zhangqi daytimenapsanddepressionriskametaanalysisofobservationalstudies
AT zhuliyong daytimenapsanddepressionriskametaanalysisofobservationalstudies
AT zengguohua daytimenapsanddepressionriskametaanalysisofobservationalstudies
AT huanghongwei daytimenapsanddepressionriskametaanalysisofobservationalstudies
AT zhugejian daytimenapsanddepressionriskametaanalysisofobservationalstudies
AT kuangxiaorui daytimenapsanddepressionriskametaanalysisofobservationalstudies
AT yangsule daytimenapsanddepressionriskametaanalysisofobservationalstudies
AT yangdi daytimenapsanddepressionriskametaanalysisofobservationalstudies
AT chenzhensheng daytimenapsanddepressionriskametaanalysisofobservationalstudies
AT ganyong daytimenapsanddepressionriskametaanalysisofobservationalstudies
AT luzuxun daytimenapsanddepressionriskametaanalysisofobservationalstudies
AT wuchunmei daytimenapsanddepressionriskametaanalysisofobservationalstudies